remote-apis
MonkeyType
remote-apis | MonkeyType | |
---|---|---|
5 | 9 | |
300 | 4,540 | |
0.0% | 0.6% | |
5.8 | 5.4 | |
15 days ago | 16 days ago | |
Starlark | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
remote-apis
-
Mozilla sccache: cache with cloud storage
In the case of the Remote Execution/Cache API used by Bazel among others[1] at least, it's a bit more detailed. There's an "ActionCache" and an actual content-addressed cache that just stores blobs ("ContentAddressableStorage"). When you run a `gcc -O2 foo.c -o foo.o` command (locally or remotely; doesn't matter), you upload an "Action" into the action cache, which basically said "This command was run. As a result it had this stderr, stdout, error code, and these input files read and output files written." The input and output files are then referenced by the hash of their contents, in this case.
Most importantly you can look up an action in the ActionCache without actually running it. So now when another person comes by and runs the same build command, they say "Has this Action, with these inputs, been run before?" and the server can say "Yes, and the output is a file identified by hash XYZ" where XYZ is the hash of foo.o
So realistically you always some mix of "input content hashing" and "output content hashing" (the second being the definition of 'content addressable'.)
[1] https://github.com/bazelbuild/remote-apis/blob/main/build/ba...
-
Distcc: A fast, free distributed C/C++ compiler
Not only it's distributed like distcc, Bazel also provide sandboxing to ensure that environment factors does not affect the build/test results. This might not mean much for smaller use cases, but at scale with different compiler toolchains targeting different OS and CPU Architecture, the sandbox helps a ton in keeping your cache accurate.
On top of it, the APIs Bazel uses to communicate with the remote execution environment is standardized and adopted by other build tools with multiple server implementation to match it. Looking into https://github.com/bazelbuild/remote-apis/#clients, you could see big players are involved: Meta, Twitter, Chromium project, Bloomberg while there are commercial supports for some server implementations.
Finally, on top of C/C++, Bazel also supports these remote compilation / remote test execution for Go, Java, Rust, JS/TS etc... Which matters a lot for many enterprise users.
Disclaimer: I work for https://www.buildbuddy.io/ which provides one of the remote execution server implementation and I am a contributor to Bazel.
-
When to Use Bazel?
Regardless of whether you should use Bazel or not, my hope is that any future build systems attempt to adopt Bazel's remote execution protocol (or at least a protocol that is similar in spirit):
https://github.com/bazelbuild/remote-apis
In my opinion the protocol is fairly well designed.
-
Programming Breakthroughs We Need
> The thing I really would like to see is a smarter CI system. Caching of build outputs, so you don't have to rebuild the world from scratch every time. Distributed execution of tests and compilation, so you are not bottle-necked by one machine.
This is already achievable nowadays using Bazel (https://bazel.build) as a build system. It uses a gRPC based protocol for offloading/caching the actual build on a build cluster (https://github.com/bazelbuild/remote-apis). I am the author of one of the Open Source build cluster implementations (Buildbarn).
-
Distributed Cloud Builds for Everyone
Very nice! I really like the ease-of-use of this, as well as the scale-to-zero costs. That's a tricky thing to achieve. Seems like it could become a standard path to ease the migration from local to remote builds.
If the author is interested in standardizing the same, I'd suggest implementing the REAPI protocol (https://github.com/bazelbuild/remote-apis). It should be amenable to implementing on a Lambda-esque back-end, and is already standard amongst most tools doing Remote Execution (including Bazel! Bazel+llama could be fun). And equally, it's totally usable by a distcc-esque distribution tool (recc[1] is one example) - that's also what Android is doing before they finish migrating to Bazel ([2], sadly not yet oss'd).
The main interesting challenge I expect this project to hit is going to be worker-local caching: for compilation actions it's not too bad to skip assuming the compiler is built into the container environment, but if branching out into either hermetic toolchains or data-heavy action types (like linking), fetching all bytes to the ephemeral worker anew each time may prove to be prohibitive. On the other hand, that might be a nice transition point to switch to persistent workers: use a lambda backed solution for the scale-to-0 case, and switch execution stacks under the hood to something based on reused VMs when hitting sufficient scale that persistent executors start to win out.
(Disclaimer: I TL'd the creation of this API, and Google implementation of the same).
[1] https://gitlab.com/BuildGrid/recc
[2] https://opensource.googleblog.com/2020/11/welcome-android-op...
MonkeyType
-
Enhance Your Project Quality with These Top Python Libraries
MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or add type annotations directly to your Python code based on the types collected at runtime.
-
A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
To alleviate the burden of manual annotation, MonkeyType offers a clever solution. It dynamically observes the types entering and leaving functions during code execution. Based on this observation, it generates a preliminary draft of type annotations. This significantly reduces the effort needed to add type hints to legacy code.
- Do you know any library that automatically detects unused files / functions inside a project folder?
-
Programming Breakthroughs We Need
https://github.com/instagram/MonkeyType can perform the call logging, and can export a static typing file which is used by mypy, but also e.g. PyCharm. It doesn't expose such fine grained types, but you could build that based on the logged data.
-
Gradually introduce type checking to an existing typed codebase.
Which introduces MonkeyType, a python library that generatics static type annotations by collecting runtime types.
- Call me naive, but would it not be possible to create a tool for python the auto adds type hints at run time?
- Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
-
Typehole – Create TypeScript interfaces from JS runtime values automatically
Not sure if you're joking but there is something similar for python developed by a rather well known company https://github.com/Instagram/MonkeyType
- Cinder: Instagram's performance oriented fork of CPython
What are some alternatives?
dylint - Run Rust lints from dynamic libraries
PythonBuddy - 1st Online Python Editor With Live Syntax Checking and Execution
bazel-gba-example - Bazel GBA (Game Boy Advance) Example
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code.
llama
Cinder - Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
MyDef - Programming in the next paradigm -- your way
typehole - TypeScript development tool for Visual Studio Code that helps you automate creating the initial static typing for runtime values
bazel-buildfarm - Bazel remote caching and execution service
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
embedded-postgres-binaries - Lightweight bundles of PostgreSQL binaries with reduced size intended for testing purposes.
plum - Multiple dispatch in Python